Subhojyoti Mukherjee

According to our database, Subhojyoti Mukherjee authored at least 19 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Multi-Objective Alignment of Large Language Models Through Hypervolume Maximization.

Subhojyoti Mukherjee, Anusha Lalitha, Sailik Sengupta, Aniket Deshmukh, Branislav Kveton

CoRR, 2024

Off-Policy Evaluation from Logged Human Feedback.

Aniruddha Bhargava, Lalit Jain, Branislav Kveton, Ge Liu, Subhojyoti Mukherjee

CoRR, 2024

Pretraining Decision Transformers with Reward Prediction for In-Context Multi-task Structured Bandit Learning.

Subhojyoti Mukherjee, Josiah P. Hanna, Qiaomin Xie, Robert D. Nowak

CoRR, 2024

Optimal Design for Human Feedback.

Subhojyoti Mukherjee, Anusha Lalitha, Kousha Kalantari, Aniket Deshmukh, Ge Liu, Yifei Ma, Branislav Kveton

CoRR, 2024

Experimental Design for Active Transductive Inference in Large Language Models.

Subhojyoti Mukherjee, Ge Liu, Aniket Deshmukh, Anusha Lalitha, Yifei Ma, Branislav Kveton

CoRR, 2024

SaVeR: Optimal Data Collection Strategy for Safe Policy Evaluation in Tabular MDP.

Subhojyoti Mukherjee, Josiah P. Hanna, Robert D. Nowak

Proceedings of the Forty-first International Conference on Machine Learning, 2024

SPEED: Experimental Design for Policy Evaluation in Linear Heteroscedastic Bandits.

Subhojyoti Mukherjee, Qiaomin Xie, Josiah P. Hanna, Robert D. Nowak

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Efficient and Interpretable Bandit Algorithms.

Subhojyoti Mukherjee, Ruihao Zhu, Branislav Kveton

CoRR, 2023

Multi-task Representation Learning for Pure Exploration in Bilinear Bandits.

Subhojyoti Mukherjee, Qiaomin Xie, Josiah Hanna, Robert D. Nowak

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

ReVar: Strengthening policy evaluation via reduced variance sampling.

Subhojyoti Mukherjee, Josiah P. Hanna, Robert D. Nowak

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Safety aware changepoint detection for piecewise i.i.d. bandits.

Subhojyoti Mukherjee

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Chernoff Sampling for Active Testing and Extension to Active Regression.

Subhojyoti Mukherjee, Ardhendu S. Tripathy, Robert D. Nowak

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

Nearly Optimal Algorithms for Level Set Estimation.

Blake Mason, Lalit Jain, Subhojyoti Mukherjee, Romain Camilleri, Kevin G. Jamieson, Robert D. Nowak

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

A Unified Approach to Translate Classical Bandit Algorithms to Structured Bandits.

Samarth Gupta, Shreyas Chaudhari, Subhojyoti Mukherjee, Gauri Joshi, Osman Yagan

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

A Unified Approach to Translate Classical Bandit Algorithms to the Structured Bandit Setting.

Samarth Gupta, Shreyas Chaudhari, Subhojyoti Mukherjee, Gauri Joshi, Osman Yagan

IEEE J. Sel. Areas Inf. Theory, 2020

Generalized Chernoff Sampling for Active Learning and Structured Bandit Algorithms.

Subhojyoti Mukherjee, Ardhendu Tripathy, Robert D. Nowak

CoRR, 2020

2019

Distribution-dependent and Time-uniform Bounds for Piecewise i.i.d Bandits.

Subhojyoti Mukherjee, Odalric-Ambrym Maillard

CoRR, 2019

2018

Efficient-UCBV: An Almost Optimal Algorithm Using Variance Estimates.

Subhojyoti Mukherjee, K. P. Naveen, Nandan Sudarsanam, Balaraman Ravindran

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Thresholding Bandits with Augmented UCB.

Subhojyoti Mukherjee, Kolar Purushothama Naveen, Nandan Sudarsanam, Balaraman Ravindran

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017